A primer on the signature method in machine learning I Chevyrev, A Kormilitzin
arXiv preprint arXiv:1603.03788, 2016
269 2016 Med7: A transferable clinical natural language processing model for electronic health records A Kormilitzin, N Vaci, Q Liu, A Nevado-Holgado
Artificial Intelligence in Medicine 118, 102086, 2021
145 2021 Named entity recognition in electronic health records using transfer learning bootstrapped neural networks L Gligic, A Kormilitzin, P Goldberg, A Nevado-Holgado
Neural Networks 121, 132-139, 2020
102 2020 Explainable artificial intelligence for mental health through transparency and interpretability for understandability DW Joyce, A Kormilitzin, KA Smith, A Cipriani
npj Digital Medicine 6 (1), 6, 2023
98 2023 Few-shot learning for named entity recognition in medical text M Hofer, A Kormilitzin, P Goldberg, A Nevado-Holgado
arXiv preprint arXiv:1811.05468, 2018
74 2018 BFKL approach and J Bartels, A Kormilitzin, LN Lipatov, A Prygarin
Physical Review D—Particles, Fields, Gravitation, and Cosmology 86 (6), 065026, 2012
70 2012 Defining faecal calprotectin thresholds as a surrogate for endoscopic and histological disease activity in ulcerative colitis—a prospective analysis A Walsh, A Kormilitzin, C Hinds, V Sexton, O Brain, S Keshav, H Uhlig, ...
Journal of Crohn's and Colitis 13 (4), 424-430, 2019
68 2019 Natural language processing for structuring clinical text data on depression using UK-CRIS N Vaci, Q Liu, A Kormilitzin, F De Crescenzo, A Kurtulmus, J Harvey, ...
BMJ Ment Health 23 (1), 21-26, 2020
63 2020 The signature-based model for early detection of sepsis from electronic health records in the intensive care unit J Morrill, A Kormilitzin, A Nevado-Holgado, S Swaminathan, S Howison, ...
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
63 2019 Analytic structure of the J Bartels, A Kormilitzin, LN Lipatov
Physical Review D 89 (6), 065002, 2014
52 2014 Clinical prompt learning with frozen language models N Taylor, Y Zhang, DW Joyce, Z Gao, A Kormilitzin, A Nevado-Holgado
IEEE Transactions on Neural Networks and Learning Systems, 2023
44 2023 Utilization of the signature method to identify the early onset of sepsis from multivariate physiological time series in critical care monitoring JH Morrill, A Kormilitzin, AJ Nevado-Holgado, S Swaminathan, ...
Critical Care Medicine 48 (10), e976-e981, 2020
39 2020 Analytic structure of the J Bartels, A Kormilitzin, LN Lipatov
Physical Review D 91 (4), 045005, 2015
37 2015 Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Ox ford M ental I llness and S uicide Tool or OxMIS) M Senior, M Burghart, R Yu, A Kormilitzin, Q Liu, N Vaci, ...
Frontiers in psychiatry 11, 268, 2020
34 2020 Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study N Vaci, I Koychev, CH Kim, A Kormilitzin, Q Liu, C Lucas, A Dehghan, ...
The British Journal of Psychiatry 218 (5), 261-267, 2021
30 2021 Associations between brain volumes and cognitive tests with hypertensive burden in UK Biobank D Newby, L Winchester, W Sproviero, M Fernandes, D Wang, ...
Journal of Alzheimer's Disease 84 (3), 1373-1389, 2021
30 2021 Application of the signature method to pattern recognition in the cequel clinical trial AB Kormilitzin, KEA Saunders, PJ Harrison, JR Geddes, TJ Lyons
arXiv preprint arXiv:1606.02074, 2016
25 2016 Artificial intelligence for dementia—Applied models and digital health DM Lyall, A Kormilitzin, C Lancaster, J Sousa, F Petermann‐Rocha, ...
Alzheimer's & Dementia 19 (12), 5872-5884, 2023
22 2023 Harnessing the potential of machine learning and artificial intelligence for dementia research JM Ranson, M Bucholc, D Lyall, D Newby, L Winchester, NP Oxtoby, ...
Brain informatics 10 (1), 6, 2023
22 2023 Maximizing the use of social and behavioural information from secondary care mental health electronic health records SM Goodday, A Kormilitzin, N Vaci, Q Liu, A Cipriani, T Smith, ...
Journal of biomedical informatics 107, 103429, 2020
21 2020 
Alejo J Nevado-HolgadoAssociate Professor, University of OxfordAdresse e-mail validée de psy.ox.ac.uk